内蒙古绒山羊绒毛性状基因组育种值估计准确性研究

Study on Estimates of Genomic Breeding Value of Fleece Traits in Inner Mongolia Cashmere Goats

为探究一步法基因组最佳线性无偏预测(SSGBLUP)法应用于内蒙古绒山羊育种的选择效果,本研究基于课题组前期积累的健康状况良好的内蒙古绒山羊(阿尔巴斯型)2256只个体的70 K SNP芯片测序数据,收集整理1至8岁个体的绒毛性状(绒长、绒细和产绒量)生产性能数据和系谱记录,通过设定SSGBLUP法中H逆矩阵的不同矩阵参数(ω,τ)进行基因组育种值估计,并利用五倍交叉验证法评价基因组育种值估计的准确性。结果表明:随着ω的不断增加,SSGBLUP法用于内蒙古绒山羊绒毛性状的基因组育种值估计准确性越高。结合ABLUP和GBLUP的遗传参数估计结果可知,当τ为0.3、ω为0.9时,内蒙古绒山羊绒毛性状的基因组选择准确性较好。其中,绒长的准确性为0.7028,绒细准确性为0.6682,产绒量准确性为0.7131。对SSGBLUP方法的H矩阵选择合适的尺度参数可提高内蒙古绒山羊绒毛性状基因组育种值估计的准确性,加快种群的遗传改良,缩短世代间隔。

The study aimed to investigate the breeding selection efficiency of the Single Step Genome Best Linear Unbiased Prediction(SSGBLUP)method for Inner Mongolia cashmere goat.Based on the Illumina GGP_Goat_70K BeadChip sequencing data from 2256 individuals of Inner Mongolia cashmere goats(Albas type),the phenotype data and pedigree records of cashmere traits were collected from individuals age 1 to 8 years old.Different matrix parameters of the H inverse matrix in the SSGBLUP method were set(ω,τ)to estimate the genome breeding value.At the same time,the accuracy of breeding value was estimated by five-fold cross-validation method.The results indicated that,as the increasingω,SSGBLUP method had led to higher accuracy in estimating genomics breeding values for cashmere traits in Inner Mongolia cashmere goats.Combining the genetic parameter estimation results of ABLUP and GBLUP,it could be concluded that whenτwas 0.3 andωwas 0.9,the accuracy of genome selection for cashmere traits in Inner Mongolia cashmere goats was relatively good.The accuracy of cashmere length was 0.7028.The accuracy of cashmere diameter was 0.6682.The accuracy of cashmere production was 0.7131.Selecting reasonable scale parameters for the H matrix of SSGBLUP method can improve the accuracy of genetic breeding value estimation for cashmere traits in Inner Mongolia cashmere goats,and accelerate population genetic improvement,and shorten generation intervals.